Occupation times of branching systems with initial inhomogeneous Poisson states and related superprocesses

Details Occupation times of branching systems with initial inhomogeneous Poisson states and related superprocesses Occupation times of branching systems with initial inhomogeneous Poisson states and related superprocesses

2008-09-03

arxiv.org/abs/0809.0665v1

Electron. J. Probab. 14 (2009), no. 46, 1328-1371

Mathematics

Probability

Scientific paper

10.1214/EJP.v14-665

The $(d,\alpha,\beta,\gamma)$-branching particle system consists of particles moving in $R^d$ according to a symmetric $\alpha$-stable L\'evy process $(0<\alpha\leq 2)$, splitting with a critical $(1+\beta)$-branching law $(0<\beta\leq 1)$, and starting from an inhomogeneous Poisson random measure with intensity measure $\mu_\gamma(dx)=dx/(1+|x|^\gamma), \gamma\geq 0$. By means of time rescaling $T$ and Poisson intensity measure $H_T\mu_\gamma$, occupation time fluctuation limits for the system as $T\to\infty$ have been obtained in two special cases: Lebesgue measure ($\gamma=0$, the homogeneous case), and finite measures $(\gamma>d)$. In some cases $H_T\equiv 1$ and in others $H_T\to\infty$ as $T\to\infty$ (high density systems). The limit processes are quite different for Lebesgue and for finite measures. Therefore the question arises of what kinds of limits can be obtained for Poisson intensity measures that are intermediate between Lebesgue measure and finite measures. In this paper the measures $\mu_\gamma, \gamma\in (0,d]$, are used for investigating this question. Occupation time fluctuation limits are obtained which interpolate in some way between the two previous extreme cases. The limit processes depend on different arrangements of the parameters $d,\alpha,\beta,\gamma$. Related results for the corresponding $(d,\alpha,\beta,\gamma)$-superprocess are also given.

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